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import numpy as np
from more_itertools import chunked

map = [
    [50, 98, 2],
    [52, 50, 48]
]

def apply_map(map, srcs):
    for dst_start, src_start, range_len in map:

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#!/bin/bash
set -eux

export obsid=1369821496
export outdir="/cygnus/dev/${obsid}"

export hyperdrive_devel="cargo +nightly -Z unstable-options -C ~/src/hyperdrive-devel run --release --quiet --features=hdf5-static,cuda,gpu-single --"
export hyperdrive_main="hyperdrive"
export birli="cargo +nightly -Z unstable-options -C ~/src/Birli run --release --quiet --"
# export srclist="/opt/cal/srclist_pumav3_EoR0LoBES_EoR1pietro_CenA-GP_2023-11-07.yaml"

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export obsid=1333747784
export srclist=/opt/cal/srclist_pumav3_EoR0LoBES_EoR1pietro_CenA-GP_2023-11-07.yaml
export full_srclist=$srclist
# export cargo="cargo +nightly -Z unstable-options -C ~/src/hyperdrive-peel"
# export test="$cargo test --release --features=hdf5-static,cuda,gpu-single"
export hyperdrive="hyperdrive" # optionally use a different hyperdrive binary
# export hyperdrive="$cargo run --release --features=hdf5-static,cuda,gpu-single"

## Preprocessing settings
export timeres_s=2        # time resolution to average to in seconds

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#!/bin/zsh -eux

export obsid="1090359520"
export outdir="/data/dev"

## preprocessing settings
#### time resolution to average to in seconds
export timeres_s=2
#### frequency resolution to average to in kHz
export freqres_khz=40

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